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Reliability-aware Cross-sample Enhancement for Robust Multimodal Sentiment Analysis

Jiang, Menghua et al.
arXiv (All) · Papers
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machine-learning
Multimodal Sentiment Analysis (MSA) aims to infer human emotions from multiple modalities such as text, audio, and vision. In practice, inputs are often corrupted by noise and missing modalities, which degrades performance. Existing methods typically address these challenges in isolation, limiting t
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